AI Associate - JBB

Why is incorporating privacy and security controls in AI algorithms essential, particularly concerning regulatory compliance?

• To protect sensitive information and adhere to legal obligations

• To improve the accuracy of AI predictions

• To make AI algorithms run faster

In a financial services company that offers various products, including credit cards, loans, and investment services, how can leveraging Einstein Next Best Action (NBA) enhance customer experience?

• By providing intelligent, real-time, and personalized recommendations for the customer

• By automating the process of background and financial status checks for new customersBy automating the process of background and financial status checks for new customers

• By predicting fluctuations in the stock market and providing detailed reports on market trends

In evaluating data quality, how can one differentiate between a quantitative and a qualitative variable?

• Quantitative variables are subjective, while qualitative variables are objective.

• Quantitative variables focus on descriptive characteristics, while qualitative variables involve statistical analyses.

• Quantitative variables involve numerical measurements, while qualitative variables represent categories or labels.

A marketing manager wants to use Predictive AI to improve their email marketing campaign. Which of the following statements best describes how Predictive AI can help them achieve this goal?

• Predictive AI can generate completely random email content to engage recipients.

• Predictive AI can analyze historical email campaign data to identify patterns and optimize email content and send times.

• Predictive AI can only provide basic email analytics, such as open and click-through rates.

In business contexts, how does data quality play a crucial role, and what impact does it have on the precision of Artificial Intelligence (AI) predictions?

• Boosts employee collaboration

• Streamlines administrative processes

• Ensures reliable insights

What is algorithmic bias in the context of AI?

• A programming error that affects the speed of algorithm execution

• The intentional skewing of results to favor certain user groups

• Unfair and unintended discrimination in algorithmic decision-making

Cosmic Caverns has recently implemented Salesforce AI to streamline customer interactions. A discrepancy is identified in the AI-driven recommendations, leading to potential customer dissatisfaction.
Why is accountability important in this context?

• To ensure the AI system is solely responsible for all decisions

• To determine which specific individuals are to blame for the discrepancy

• To trace and understand the cause of the issue, enabling improvements

How does the presence of high-quality data contribute to making effective business decisions?

• Ensures accurate insights

• Increases employee productivity

• Reduces administrative workload

What are the key principles outlined in Salesforce's Trusted AI framework?

• Responsible, Accountable, Empowering, Transparent, Inclusive

• Responsible, Accountable, Transparent, Empowering, Exclusive

• Transparent, Simple, Responsible, Innovative, Exclusive

How does consequence scanning contribute to ensuring accountability in AI systems?

• By avoiding the implementation of any potentially controversial AI algorithms

• By assessing the potential impacts and risks associated with AI decisions

• By determining the specific individuals to blame for AI system errors